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|Number of Pages||608 Pages|
The latest edition of this classic text is up to date with the inclusion of major advances within fuzzy logic as well as the removal of topics that are redundant or obsolete; resulting in a concise yet inclusive text that will ensure it retains its broad appeal at the forefront of the literature. This edition is oriented mainly towards methods and techniques, and is revised with every chapter featuring new illustrations and examples using MATLAB code that will benefit student learning in all basic operations, the generation of membership functions, and all the specialized applications in the latter chapters of the book.
Fuzzy logic refers to a large subject dealing with a set of methods to characterize and quantify uncertainty in engineering systems that arise from ambiguity, imprecision, fuzziness, and lack of knowledge. Fuzzy logic is a reasoning system based on a foundation of fuzzy set theory, itself an extension of classical set theory, where set membership can be partial as opposed to all or none, as in the binary features of classical logic.